Arthritis, defined as a chronic inflammation often accompanied by swelling of one or more joints, encompasses more than 100 conditions that affect the joints, tissues around them as well as other connective tissues. This condition causes severe discomfort compromising the quality of life drastically, and thereby inflicts severe financial and social impact on the people affected. The incidence rate of arthritis is increasing all around the globe including the United States every year. In general, osteoarthritis (OA) affects more people in comparison to rheumatoid arthritis (RA). In the USA itself, more than 14 million people are affected by OA in comparison to 1.4 million people suffering from RA. In both conditions, elevated levels of proinflammatory cytokines have been recorded, this incidence generally precedes the cartilage degradation observed in the patients. The use of mesenchymal stem cells (MSCs) has proven to be a safe and efficient therapeutic option for treating many inflammation-rooted pathological conditions. Evidence suggests that MSCs down-regulate the effects of proinflammatory cytokines including tumor necrosis factor (TNF)-α, interferon (IFN)-γ, interleukin (IL)-1B, IL-2, and IL-17, and help restore the functions of immune cells. In addition, these cells promote the polarization of M2 phenotype macrophages, thus contributing to the suppression of the inflammatory process and consequentially to cartilage regeneration. Preclinical and clinical trials have proven the safety and effectiveness of this therapy, supported by the fact that these do not provoke any host immune response, and their influence on the cytokine profiles. An attempt to survey the results of stem cell therapy for treating arthritis has been carried out in this review.

UNASSIGNED: Traditional Chinese medicine (TCM) offers the advantage of effectively relieving rheumatoid arthritis (RA) with minimal side effects. The Juanbi recipe is a commonly utilized TCM treatment for RA, yet its pharmacological mechanism remains unclear. Network pharmacology serves as an effective tool for identifying pharmaceutical ingredients and potential therapeutic targets of TCM, thereby uncovering its mechanisms. This study aimed to identify the core target genes and explore the mechanisms underlying the treatment of RA with the Juanbi recipe.
UNASSIGNED: This study adopted the method of network pharmacology to filter key gene targets of Juanbi recipe in RA treatment. Single-cell ribonucleic acid (RNA) sequencing data was used to screen the key genes to form the core genes of Juanbi recipe in RA treatment. The molecular docking technique was used to verify the core target genes and explore the mechanisms of Juanbi recipe in RA treatment. The RA model of mice was induced by the collagen-induced arthritis and the effect of Juanbi recipe was evaluated by intragastric administrating of extraction of Juanbi recipe. Enzyme linked immunosorbent assay was used to analysis serum inflammatory factors. Hematoxylin and eosin staining was used to evaluate inflammation and immunohistochemical (IHC) staining was used to evaluate core target genes and pathways in synovium of ankle.
UNASSIGNED: This study screened out 281 active molecules in Juanbi recipe, found 105 key target genes of Juanbi recipe in RA treatment, and drew an \"ingredient - molecule - gene\" diagram. Juanbi recipe reduced the levels of serum interleukin (IL)-1 and IL-6, the inflammatory infiltration in synovium, demonstration that Juanbi recipe reduced both systemic and synovial inflammatory response. Single cell RNA sequencing data were used to select six core target genes and six core active molecules of Juanbi recipe in RA treatment. The pathways of Juanbi recipe in RA treatment involved in activator protein-1 (AP-1) and nuclear factor kappa B (NF-κB) pathway. Results of western blot and IHC staining showed that Juanbi recipe decreased the expressions of c-jun and p65, which demonstrated that Juanbi recipe inhibited the expression of AP-1 and NF-κB pathway in RA.
UNASSIGNED: The core active molecules of Juanbi recipe could inhibit key factors of AP-1 and NF-κB pathway to inhibit the inflammation, which played a protective role in RA.

Systemic autoimmune diseases are complex conditions characterized by an immune system dysregulation and an aberrant activation against self-antigens, leading to tissue and organ damage. Even though genetic predisposition plays a role, it cannot fully explain the onset of these diseases, highlighting the significant impact of non-heritable influences such as environment, hormones and infections. The exposome represents all those factors, ranging from chemical pollutants and dietary components to psychological stressors and infectious agents. Epigenetics, which studies changes in gene expression without altering the DNA sequence, is a crucial link between exposome and the development of autoimmune diseases. Key epigenetic mechanisms include DNA methylation, histone modifications, and non-coding RNAs. These epigenetic modifications could provide a potential piece of the puzzle in understanding systemic autoimmune diseases and their connection with the exposome. In this work we have collected the most important and recent evidence in epigenetic changes linked to systemic autoimmune diseases (systemic lupus erythematosus, idiopathic inflammatory myopathies, ANCA-associated vasculitis, and rheumatoid arthritis), emphasizing the roles these changes may play in disease pathogenesis, their potential as diagnostic biomarkers and their prospective in the development of targeted therapies.

BACKGROUND: The safety and efficacy of upadacitinib 15 mg (UPA15) through week 216 was evaluated in patients with rheumatoid arthritis (RA) from the long-term extension (LTE) of the phase 3 SELECT-CHOICE study.
METHODS: Patients with RA refractory to biologic disease-modifying antirheumatic drugs (bDMARDs) were randomized to UPA15 or abatacept (ABA) for 24 weeks. During the open-label LTE, patients on ABA switched to UPA15 at week 24, and those on UPA15 continued treatment. The safety and efficacy of continuous UPA15, and ABA to UPA15, are summarized through week 216.
RESULTS: The LTE was comprised of 91.4% (n = 277/303) of patients that initially received UPA15, and 89.6% (n = 277/309) that initially received ABA. Of patients on UPA15 in the LTE (n = 547), 28.3% (n = 155/547) discontinued the study drug by week 216. Relative to other adverse events of special interest, and largely consistent with previous findings at week 24, higher rates of serious infection, COVID-19, herpes zoster, and elevated creatine phosphokinase were reported, while rates of malignancy excluding nonmelanoma skin cancer (NMSC), NMSC, major adverse cardiovascular event (MACE), and venous thromboembolism (VTE) were low. Long-term safety data with UPA through week 216 aligned with previous observations and no new safety risks were identified, including in patients who switched from ABA to UPA15. Proportions of patients achieving 28-joint disease activity score based on C-reactive protein (DAS28[CRP]) < 2.6/ ≤ 3.2, clinical disease activity index (CDAI) and simple disease activity index (SDAI) low disease activity/remission, ≥ 20%/50%/70% improvement in the American College of Rheumatology (ACR20/50/70) response criteria, and Boolean remission were maintained or improved with UPA15 through week 216. Improvements in the Health Assessment Questionnaire-Disability Index (HAQ-DI), patient\'s assessment of pain, and Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) were also maintained or improved with UPA15 through week 216. Across all efficacy endpoints, similar results were observed in patients who switched from ABA to UPA15 versus continuous UPA15. Patients with an inadequate response to ≥ 1 prior tumor necrosis factor (TNF) inhibitor (UPA15: n = 263/303, 86.8%; ABA to UPA15: n = 273/309, 88.3%) showed similar responses to the total population.
CONCLUSIONS: The long-term safety profile of UPA was consistent with previous findings and the broader RA clinical program. Compared to the primary analyses at week 24, efficacy responses were maintained or further improved with UPA15 through week 216 in patients with RA. Trial registration, ClinicalTrials.gov identifier: NCT03086343.
A long-term study looked at a drug named upadacitinib to treat people with rheumatoid arthritis (RA), a disease that causes joint pain and damage. The study included patients whose RA was not improved by other injectable medicines. The study compared upadacitinib with another drug called abatacept. After 24 weeks, patients who were taking abatacept switched to upadacitinib, and patients taking upadacitinib continued on upadacitinib treatment for over 4 years. The researchers looked at how well the treatments worked over the long-term and if there were any side effects. The side effects with upadacitinib treatment in this long-term study were similar to side effects reported in previous studies with upadacitinib. The researchers also found that upadacitinib helped to lessen the symptoms of RA over time and helped patients complete their daily activities and reduced their pain and tiredness. This was true for patients who switched from abatacept to upadacitinib after 24 weeks and for patients who took upadacitinib from the start of the study. Patients who had not responded to other medicines also had similar improvements with upadacitinib. In conclusion, upadacitinib can help people with RA over the long term and no new safety risks were found.

Angiogenesis is critical for rheumatoid arthritis (RA) progression. The effects of tofacitinib, a JAK-STAT inhibitor used for RA treatment, on angiogenesis in RA are unclear. We, therefore, evaluated the levels of angiogenic factors in two systems of a human co-culture of fibroblast (HT1080) and monocytic (U937) cell lines treated with tofacitinib and in serum samples from RA patients before and after six months of tofacitinib treatment. Tofacitinib reduced CD147 levels, matrix metalloproteinase-9 (MMP-9) activity, and angiogenic potential but increased endostatin levels and secreted proteasome 20S activity. In vitro, tofacitinib did not change CD147 mRNA but increased miR-146a-5p expression and reduced STAT3 phosphorylation. We recently showed that CD147 regulates the ability of MMP-9 and secreted proteasome 20S to cleave collagen XVIIIA into endostatin. We show here that tofacitinib-enhanced endostatin levels are mediated by CD147, as CD147-siRNA or an anti-CD147 antibody blocked proteasome 20S activity. The correlation between CD147 and different disease severity scores supported this role. Lastly, tofacitinib reduced endostatin\' s degradation by inhibiting cathepsin S activity and recombinant cathepsin S reversed this in both systems. Thus, tofacitinib inhibits angiogenesis by reducing pro-angiogenic factors and enhancing the anti-angiogenic factor endostatin in a dual effect mediated partly through CD147 and partly through cathepsin S.

Rheumatoid arthritis (RA) is a chronic systemic autoimmune disease characterized by inflammation in the synovial lining of the joints. Key inflammatory cytokines such as interleukin-6 (IL-6), TNF-α, and others play a critical role in the activation of local synovial leukocytes and the induction of chronic inflammation. Tocilizumab (TCZ), a humanized anti-IL-6 receptor monoclonal antibody, has demonstrated significant clinical efficacy in treating RA patients. However, similar to other inflammatory cytokine blockers, such as TNF-alpha inhibitors, Interleukin-1 inhibitors, or CD20 inhibitors, some patients do not respond to treatment. To address this challenge, our study employed a high-precision proteomics approach to identify protein biomarkers capable of predicting clinical responses to Tocilizumab in RA patients. Through the use of data-independent acquisition (DIA) mass spectrometry, we analyzed serum samples from both TCZ responders and non-responders to discover potential biomarker candidates. These candidates were subsequently validated using individual serum samples from two independent cohorts: a training set (N = 70) and a test set (N = 18), allowing for the development of a robust multi-biomarker panel. The constructed multi-biomarker panel demonstrated an average discriminative power of 86 % between response and non-response groups, with a high area under the curve (AUC) value of 0.84. Additionally, the panel exhibited 100 % sensitivity and 60 % specificity. Collectively, our multi-biomarker panel holds promise as a diagnostic tool to predict non-responders to TCZ treatment in RA patients.

BACKGROUND: Rheumatoid arthritis (RA) and psoriatic arthritis (PsA) are chronic inflammatory diseases in which innate and adaptive responses of the immune system are induced. RA and PsA have complex signaling pathways. Despite the differences in their clinical presentation, there is a great demand for fast and accurate diagnosis of diseases to implement treatment and plan an individual therapeutic strategy quickly. In this report, we present the results of differential diagnosis of patients with RA and PsA and healthy subjects (C, control group), allowing for reliable differentiation of groups of rheumatoid patients based on biochemical parameters, attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectra, and combined data sets.
METHODS: Biochemical analyses, ELISA (enzyme-linked immunosorbent assays), and multiplex assays were conducted for blood sera from patients with RA (n = 32), patients with PsA (n = 28), and the control group (n = 18). ATR-FTIR spectra were collected for lyophilized sera.
RESULTS: The combination of six biochemical parameters (WBC, ESR, RF, CRP, HCC-4/CCL16, and HMGB1/HMGB) allowed the development of the partial least squares discriminant analysis (PLS-DA) model with an overall accuracy (OA) of 80% for test samples. The best separation between RA, PsA, and the control group was obtained utilizing spectral data. Using the interval PLS algorithm (iPLS) specific spectral ranges were selected and a classifier characterized by OA value for test set equal to 88% was obtained. This parameter, for the hybrid PLS-DA model constructed using selected biochemical parameters and a significantly reduced number of spectral variables, reached the level of 84%.
CONCLUSIONS: PLS-DA models developed on the basis of spectral data enable effective differentiation of patients with RA, patients with PsA, and healthy subjects. They appeared to be insensitive to existing inflammation processes which opens interesting perspectives for new diagnostic tests and algorithms for identification of patients with RA and PsA.

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by inflammation and joint damage. Existing treatment options primarily focus on managing symptoms and slowing disease progression, often with side effects and limitations. The gut microbiome, a vast community of microorganisms present in the gastrointestinal tract, plays a crucial role in health and disease. Recent research suggests a bidirectional relationship between the gut microbiome and RA, highlighting its potential as a therapeutic option. This review focuses on the interaction between the gut microbiome and RA development, by discussing how dysbiosis, an imbalance in gut bacteria, can contribute to RA through multiple mechanisms such as molecular mimicry, leaky gut, and metabolic dysregulation. Probiotics, live microorganisms with health benefits, are emerging as promising tools for managing RA. They can prevent the negative effects of dysbiosis by displacing harmful bacteria, producing anti-inflammatory metabolites like short-chain fatty acids (SCFA), Directly influencing immune cells, and modifying host metabolism. animal and clinical studies demonstrate the potential of probiotics in improving RA symptoms and disease outcomes. However, further research is needed to optimize probiotic strains, dosages, and treatment protocols for personalized and effective management of RA. This review summarizes the current understanding of the gut microbiome and its role in RA and discusses future research directions. In addition to the established role of gut dysbiosis in RA, emerging strategies like fecal microbiota transplantation, prebiotics, and postbiotics offer exciting possibilities. However, individual variations in gut composition necessitate personalized treatment plans. Long-term effects and clear regulations need to be established. Future research focusing on metagenomic analysis, combination therapies, and mechanistic understanding will unlock the full potential of gut microbiome modulation for effective RA management.

BACKGROUND: Vaccines are a crucial component of the global efforts to control the spread of COVID-19. Very little is known about COVID-19 vaccine responses in patients living with autoimmune rheumatic conditions in Africa. We examined the clinical reaction to COVID-19 vaccinations in Ghanaians diagnosed with autoimmune rheumatic disease.
METHODS: This was a hospital-based interventional cohort study of systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA) patients recruited via regular face-to-face clinic visits. The systemic lupus erythematosus disease activity index Selena modification (SELENA-SLEDAI) and the disease activity score 28-joint count-erythrocyte sedimentation rate (DAS28-ESR) were used to measure changes in disease activity levels.
RESULTS: Thirty-eight (38) patients of which 21 (55.3%) were diagnosed with SLE and 17 (44.7%) with RA contributed data for analyses. Most (89.5%) of the patients were females, with a mean age of 37.4 years. The SLE patients experienced a notable increase in severe flares during weeks three and six, as well as the third and sixth months, followed by subsequent decreases in the twelfth month, while remission levels increased throughout the same period. Among RA patients, high disease activity decreased during weeks three and six, as well as the third, sixth, and twelfth months, with remission levels increasing during the same time. A low dose (≥ 50 < 75 mg) dose of azathioprine was at some point associated with having a severe flare among SLE patients. After both vaccine doses, SLE patients were the majority having experienced both local and systemic reactions, all resolving within 24 h. Approximately 73.7% of the patients were COVID-19 negative at baseline. During post-vaccination visits, this increased to 100% by week six, with no positives thereafter.
CONCLUSIONS: This study explores COVID-19 vaccine responses in Ghanaian autoimmune rheumatic disease patients, revealing disease activity levels in RA patients improved after vaccination compared to SLE patients. Our findings identify a potential link between low-dose azathioprine and severe flares in SLE patients, particularly evident in the third-week post-vaccination. Further research is warranted to clarify these findings and guide tailored treatment approaches in this medically significant population during pandemics and vaccination efforts.

OBJECTIVE: Rheumatoid arthritis can be classified according to ACPA and RF status. ACPA status may be associated with other pathophysiological differences, e.g., the cytokines driving inflammation. Obesity influences the course of RA, likely involving leptin; the exact mechanisms are not completely understood. This study investigates BMI influence on RA cytokine profiles and the possibility of predicting ACPA status and disease activity measured by Power-Doppler sonography (PDS).
METHODS: Patients were examined using a multi-biomarker disease assay and PDS examination of wrists and MCP and PIP joints and stratified according to ACPA status and BMI, using prediction precision to determine BMI cutoff. Analysis was performed using elastic net regularization of logistic and multiple regression. We then attempted to predict ACPA status/PDS activity based on a bootstrap approach.
RESULTS: A total of 120 measurements from 95 patients were performed. ACPA status prediction peaked at BMI 26 kg/m2, with AUC 0.82. PDS activity prediction had a mean average error of < 1.6 PDS points for all groups. In obese patients, cytokine profiles appear to align in ACPA-positive and -negative patients, with leptin playing a greater role in predicting PDS activity, but with some remaining differences.
CONCLUSIONS: When stratified according to BMI, cytokine patterns can predict ACPA status and PDS activity in RA with a high degree of precision. This indicates that studies into the pathophysiology of RA should take BMI into account, to differentiate between disease- and obesity-associated phenomena. The underlying pathological processes of ACPA-negative and -positive RA appear different. Multi-cytokine evaluations may provide a deeper understanding of disease processes. Key Points • A multi-cytokine approach combined with ultrasonography and modern mathematical methods can contribute to a deeper understanding of the relationship between systemic and joint inflammation. • BMI influences cytokine profiles in rheumatoid arthritis and appears to \"override\" disease-specific processes. • Using cytokines only, and adjusting for BMI, it is possible to predict the ACPA status and joint inflammation with considerable precision.